Feeling Thermometer- Christians vs. Muslims Minimum-
Christians- 0.00
Muslims- 0.00
The concept of the Feeling Thermometer shows the subjects feelings on a particular subject on a 0-100 scale, 0 being completely adverse and 100 being absolutely supportive of it. Being that the minimum for the Christian and Muslim feeling thermometers is 0.00 whoever submitted a 0.00 has a completely adverse feeling towards Christians and Muslims. Maximum-
Christians- 100
Muslims- 100
The maximum represents the highest score that was given by a subject. Since both maximums were 100, the subject(s) who chose this really support that religion, and possibly are Christians/Muslims themselves. Median-
Christians- 85
Muslims- 50
The median is the middle value of a dataset. It can also be seen as the point of seperation between the high points from the low points. This statistic can be helpful because it basically removes outliers which can skew statistics. Being that the median for Christians is an 85, this could possibly mean the Christian feeling thermometer recieved higher scores throughout the subjects. On the other hand, the fact that the median for Muslims was 50, it could possibly mean that the scores could potentially be more consistent from high to low scores. Mean-
Christians- 78.55
Muslims- 51.79
The mean of a dataset basically shows the average. All of the scores were added up and then divided by the total number of subjects to get what the average feeling is for that religion. Considering that Christians got a 78.55, it shows that the general feeling towards Christians is more positive than the feelings towards Muslims which is a 51.79. Whether or not this is true is one thing, but the numbers show a brighter view of Christians. Standard Deviation-
Christians- 20.282777
Muslims- 23.12534
The standard deviation shows how spread a dataset is. The standard deviance is the square root of the variance. To show how spread the majority of the data is you take the Mean and subtract and add it to the Standard Deviation to get the range of the feelings of the subjects.
78.55-20.282777=58.267223
78.55+20.282777=98.832777
This means that most people chose between 52.267223 and 98.832777, which in turn means that most people had pretty good thoughts about Christians.
The Standard Deviation of Muslims can be done the same way.
51.79-23.12534=28.66466
51.79+23.12534=74.91534
Based on the Stardard Deviance, the general feelings have a pretty vast range, that isn't too high. This means that potentially most of the subjects chose a mediocre score of Muslims, which shows a general dislike for the religion. (Deviance haha! standard deviation, of course)
Box Plots
This is the Box Plot for the Christian Feeling Thermometer. It shows (from the bottom of the graph to the top): the minimum, lower quartile, median, upper quartile, and maximum. On a deeper level it shows the distance between where most of the people graded Christians and where the lowest score was given. This means that most people thought fairly high of Christians, whereas only a few felt adverse towards them.
This is the Box Plot for the Muslim Feeling Thermometer. The interesting thing about this box plot is the amount of outliers. This shows that there are many subjects who have varied opinions of Muslims. The majority of the subjects have mediocre feelings towards Muslims, based on the space between the lower and upper quartiles.
Scatterplot of Feeling Thermometers- Christians vs. Muslims
This is the Scatterplot of the Christian and Muslim Feeling Thermometers.Based on the graph itself and the lines and their directions, there doesn't seem to be any real correlation between the scores that people gave Christians and Muslims. Scatterplots are supposed to show a relation between two seperate variables, in this case there is no real connection between the Feeling Thermometers of Muslims and Christians. Correlation
The Correlation between the Feeling Thermometers of Muslims and Christians was 0.1068496. Correlations are the relationship between two variables. This relationship comes in numerical form and falls between -1 and 1, 1 being a strong postive correlation and -1 being a negative one. being that the Correlation between Muslims and Christians was extremely close to 0 this means that there is little to no Correlation. This means that there are no potential relationships between these two variables. (You might rather say "there are potentially no relationships")
Excellent job. You might want to organize your explanations in a more narrative, paragraph form. This way is a little too schematic maybe. But that's just minor advice. Great work.
Minimum-
Christians- 0.00
Muslims- 0.00
The concept of the Feeling Thermometer shows the subjects feelings on a particular subject on a 0-100 scale, 0 being completely adverse and 100 being absolutely supportive of it. Being that the minimum for the Christian and Muslim feeling thermometers is 0.00 whoever submitted a 0.00 has a completely adverse feeling towards Christians and Muslims.
Maximum-
Christians- 100
Muslims- 100
The maximum represents the highest score that was given by a subject. Since both maximums were 100, the subject(s) who chose this really support that religion, and possibly are Christians/Muslims themselves.
Median-
Christians- 85
Muslims- 50
The median is the middle value of a dataset. It can also be seen as the point of seperation between the high points from the low points. This statistic can be helpful because it basically removes outliers which can skew statistics. Being that the median for Christians is an 85, this could possibly mean the Christian feeling thermometer recieved higher scores throughout the subjects. On the other hand, the fact that the median for Muslims was 50, it could possibly mean that the scores could potentially be more consistent from high to low scores.
Mean-
Christians- 78.55
Muslims- 51.79
The mean of a dataset basically shows the average. All of the scores were added up and then divided by the total number of subjects to get what the average feeling is for that religion. Considering that Christians got a 78.55, it shows that the general feeling towards Christians is more positive than the feelings towards Muslims which is a 51.79. Whether or not this is true is one thing, but the numbers show a brighter view of Christians.
Standard Deviation-
Christians- 20.282777
Muslims- 23.12534
The standard deviation shows how spread a dataset is. The standard deviance is the square root of the variance. To show how spread the majority of the data is you take the Mean and subtract and add it to the Standard Deviation to get the range of the feelings of the subjects.
78.55-20.282777=58.267223
78.55+20.282777=98.832777
This means that most people chose between 52.267223 and 98.832777, which in turn means that most people had pretty good thoughts about Christians.
The Standard Deviation of Muslims can be done the same way.
51.79-23.12534=28.66466
51.79+23.12534=74.91534
Based on the Stardard Deviance, the general feelings have a pretty vast range, that isn't too high. This means that potentially most of the subjects chose a mediocre score of Muslims, which shows a general dislike for the religion.
(Deviance haha! standard deviation, of course)
Box Plots
This is the Box Plot for the Christian Feeling Thermometer. It shows (from the bottom of the graph to the top): the minimum, lower quartile, median, upper quartile, and maximum. On a deeper level it shows the distance between where most of the people graded Christians and where the lowest score was given. This means that most people thought fairly high of Christians, whereas only a few felt adverse towards them.
This is the Box Plot for the Muslim Feeling Thermometer. The interesting thing about this box plot is the amount of outliers. This shows that there are many subjects who have varied opinions of Muslims. The majority of the subjects have mediocre feelings towards Muslims, based on the space between the lower and upper quartiles.
Scatterplot of Feeling Thermometers- Christians vs. Muslims
This is the Scatterplot of the Christian and Muslim Feeling Thermometers.Based on the graph itself and the lines and their directions, there doesn't seem to be any real correlation between the scores that people gave Christians and Muslims. Scatterplots are supposed to show a relation between two seperate variables, in this case there is no real connection between the Feeling Thermometers of Muslims and Christians.
Correlation
The Correlation between the Feeling Thermometers of Muslims and Christians was 0.1068496. Correlations are the relationship between two variables. This relationship comes in numerical form and falls between -1 and 1, 1 being a strong postive correlation and -1 being a negative one. being that the Correlation between Muslims and Christians was extremely close to 0 this means that there is little to no Correlation. This means that there are no potential relationships between these two variables. (You might rather say "there are potentially no relationships")
Excellent job. You might want to organize your explanations in a more narrative, paragraph form. This way is a little too schematic maybe. But that's just minor advice. Great work.
R Script
Christians vs Muslims